Update README.md
Browse files
README.md
CHANGED
@@ -18,7 +18,7 @@ This model is optimized for plant science by continuing pertaining on over 1.5 m
|
|
18 |
- **Demo [optional]:** [More Information Needed]
|
19 |
|
20 |
## How to Get Started with the Model
|
21 |
-
|
22 |
from transformers import LlamaTokenizer, LlamaForCausalLM
|
23 |
import torch
|
24 |
|
@@ -30,13 +30,18 @@ batch = tokenizer(instruction, return_tensors="pt", add_special_tokens=False).to
|
|
30 |
with torch.no_grad():
|
31 |
output = model.generate(**batch, max_new_tokens=512, temperature=0.7, do_sample=True)
|
32 |
response = tokenizer.decode(output[0], skip_special_tokens=True)
|
|
|
33 |
|
|
|
|
|
34 |
|
35 |
-
|
|
|
36 |
title={PLLaMa: An Open-source Large Language Model for Plant Science},
|
37 |
author={Xianjun Yang and Junfeng Gao and Wenxin Xue and Erik Alexandersson},
|
38 |
year={2024},
|
39 |
url={https://api.semanticscholar.org/CorpusID:266741610}
|
40 |
-
}
|
|
|
41 |
|
42 |
|
|
|
18 |
- **Demo [optional]:** [More Information Needed]
|
19 |
|
20 |
## How to Get Started with the Model
|
21 |
+
```python
|
22 |
from transformers import LlamaTokenizer, LlamaForCausalLM
|
23 |
import torch
|
24 |
|
|
|
30 |
with torch.no_grad():
|
31 |
output = model.generate(**batch, max_new_tokens=512, temperature=0.7, do_sample=True)
|
32 |
response = tokenizer.decode(output[0], skip_special_tokens=True)
|
33 |
+
```
|
34 |
|
35 |
+
## Citation
|
36 |
+
If you find PLLaMa useful in your research, please cite the following paper:
|
37 |
|
38 |
+
```latex
|
39 |
+
@inproceedings{Yang2024PLLaMaAO,
|
40 |
title={PLLaMa: An Open-source Large Language Model for Plant Science},
|
41 |
author={Xianjun Yang and Junfeng Gao and Wenxin Xue and Erik Alexandersson},
|
42 |
year={2024},
|
43 |
url={https://api.semanticscholar.org/CorpusID:266741610}
|
44 |
+
}
|
45 |
+
```
|
46 |
|
47 |
|